| Title |
The impact of human factors on the participation decision of reviewers in modern code review
|
|---|---|
| Published in |
Empirical Software Engineering, September 2018
|
| DOI | 10.1007/s10664-018-9646-1 |
| Authors |
Shade Ruangwan, Patanamon Thongtanunam, Akinori Ihara, Kenichi Matsumoto |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 17% |
| Student > Ph. D. Student | 8 | 14% |
| Professor | 4 | 7% |
| Other | 4 | 7% |
| Student > Doctoral Student | 2 | 3% |
| Other | 8 | 14% |
| Unknown | 22 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 25 | 43% |
| Engineering | 3 | 5% |
| Unspecified | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Business, Management and Accounting | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 25 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 September 2020.
All research outputs
#14,364,955
of 23,108,064 outputs
Outputs from Empirical Software Engineering
#446
of 710 outputs
Outputs of similar age
#187,259
of 336,136 outputs
Outputs of similar age from Empirical Software Engineering
#12
of 18 outputs
Altmetric has tracked 23,108,064 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 710 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 336,136 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.